Abstract
We are developing an indoor movement support machine to conduct livelihood support for people with lower limbs disabilities. A joystick is designed for users to manipulate this machine. However, it is inconvenient for the user to operate the joystick and the same time conduce daily life activity. Therefore, we are aiming to develop a method to detect the movement intention by the movement of user's upper body. In this report, we measure the specific movement by inertial sensor and identify the movement intention using a hierarchical neural network identification method. The effectiveness of the identification method is discussed.
